Irisin Exerts Neuroprotective Effects on Cultured Neurons by Regulating Astrocytes by Kexin Wang, Hongyan Li, Hongxing Wang, Jun-hui Wang, Feng Song, Yu Sun

“…Our finding may provide novel evidence for the future application of irisin in the treatment of Alzheimer’s disease and the memory dysfunction in diabetes mellitus.…”
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Alternative splicing of modulatory immune receptors in T lymphocytes: a newly identified and targetable mechanism for anticancer immunotherapy by Shay Tzaban, Ori Stern, Elad Zisman, Galit Eisenberg, Galit Eisenberg, Shiri Klein, Shiri Klein, Shoshana Frankenburg, Michal Lotem, Michal Lotem, Michal Lotem

“…This process makes splicing isoforms defining features of cell states, exemplified by CD45 splice isoforms, which characterize the transition from naïve to memory states. Two developments have accelerated the use of AS dynamics for therapeutic interventions: advancements in long-read RNA sequencing and progress in nucleic acid chemical modifications. …”
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Probiotics administration alleviates cognitive impairment and circadian rhythm disturbance induced by sleep deprivation by Peijun Tian, Yunfei Hou, Zheng Wang, Jiaona Jiang, Xin Qian, Zhihao Qu, Jianxin Zhao, Gang Wang, Wei Chen

“…It also alleviated SD-induced cognitive behavioural abnormalities (in the novel object recognition test), but did not show beneficial effects on mood- and spatial memory-related behaviours. CCFM1025 significantly altered the gut microbial composition and genome function. …”
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A comparative study on different machine learning approaches with periodic items for the forecasting of GPS satellites clock bias by Longjiang Song, Jiahao Liu, Leilei Wang, Ziyi Wang, Yibo Yuan

“…Specifically, we utilize precision satellite clock bias data from the International GNSS Service forecast experiments and assess the predictive effects of various models including backpropagation neural network (BPNN), wavelet neural network (WNN), long short-term memory (LSTM), and gated recurrent units (GRUs). The predicted sequences of the four machine learning models are compared with the quadratic polynomial(QP) model. …”
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Spatiotemporal Parameters of Gait Among Adolescent Athletes with Concussion When Performing a Visuospatial Cognitive Task by Leah Lowe, Fernando Castillo, Melissa Allen, Michael Israel, Charlotte Yates

“… # Purpose The purpose of this study was to evaluate the dual-task cost (DTC) in adolescents with an acute or chronic SRC compared to reference values from healthy athlete peers for spatiotemporal parameters of gait during walking with and without a concurrent visuospatial memory task presented on a hand-held tablet. Researchers hypothesized that adolescents during the acute phase of concussion would be likely to experience a greater DTC compared to healthy peers in at least one spatiotemporal parameter of gait when walking within the dual-task paradigm…”
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Single cell transcriptome profiling reveals pathogenesis of bullous pemphigoid by Guirong Liang, Chenjing Zhao, Qin Wei, Suying Feng, Yetao Wang

“…As BP patients transition from active to remission stages, blood B cell function shifts from differentiation and memory formation to increased type 1 interferon signaling and reduced IL-4 response. …”
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Exploring happiness factors with explainable ensemble learning in a global pandemic. by Md Amir Hamja, Mahmudul Hasan, Md Abdur Rashid, Md Tanvir Hasan Shourov

“…We design two ensemble ML and DL models using blending and stacking ensemble techniques, namely, Blending RGMLL, which combines Ridge Regression (RR), Gradient Boosting (GB), Multilayer Perceptron (MLP), Long Short-Term Memory (LSTM), and Linear Regression (LR), and Stacking LRGR, which combines LR, Random Forest (RF), GB, and RR. …”
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Retracted: Multi-Objective Optimization Algorithm and Preference Multi-Objective Decision-Making Based on Artificial Intelligence Biological Immune System by Juan Bao, Xiangyang Liu, Zhengtao Xiang, Gang Wei

“…Use the excellent genes of the memory genes as the imported genes and introduce the inferior individuals to strengthen the mining of the best solution of Pareto at the boundary of the impossible field. …”
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Design and Verification of Simulation Data Generator for Rail Transit Switch Machine Oriented to Intelligent Operation and Maintenance by ZOU Jinbai, WEI Shiyan, LIU Jiang, SHA Quan, WU Jie, JI Guoyi

“…Through building a platform for SD generator, and using the time series features of learning the power data by LSTM (long short-term memory) prediction model, three characteristics of the generated gradual fault power data such as the crest factor, standard deviation, and variance are tested. …”
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Mathematical Modeling of Cyberattack Defense Mechanism Using Hybrid Transfer Learning With Snow Ablation Optimization Algorithm in Critical Infrastructures by Mohamad Khairi Ishak

“…For the cybersecurity classification process, the presented CDMHTL-SAOA technique applies the hybrid of convolutional neural network and bi-directional long short-term memory (CNN-BiLSTM) method. Eventually, the parameter choice of the CNN-BiLSTM technique has been implemented by the design of the hippopotamus optimization algorithm (HOA). …”
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Applying the carbon materials in TSVs array for enhancing heat transfer performance of three-dimensional integrated circuits by Peng Xu, Huan Huang, Songjie Zhao, Xiushan Liu, Fa Zou, Chao Li, Jun Ai, Hui Liu

“…Furthermore, it is demonstrated that the processor runtime and memory footprint of our proposed model are 46.938 and 6.771 times lower than COMSOL simulation model, and the maximum error between them is not exceeding 3 %.…”
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Identifying Incident Causal Factors to Improve Aviation Transportation Safety: Proposing a Deep Learning Approach by Tianxi Dong, Qiwei Yang, Nima Ebadi, Xin Robert Luo, Paul Rad

“…Finally, we build and train an attention-based long short-term memory (LSTM) model to identify primary and contributing factors in each incident report. …”
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A Long Shadow of World War II: Development of the National Security Concept in the United States by V. A. Veselov

“…In recent years, the history of World War II has transformed into a battlefield in its own right in the ‘war of memory’. Besides the clear fact that the current attempts to revise the results of this war reflect the contemporary international tensions, yet another factor should be noted. …”
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Pulmonary Complications of Monogenic Patients with Common Variable Immunodeficiency: COVID-19 Perspectives by Samaneh Delavari, Marzie Esmaeili, Fereshte Salami, Seyed Erfan Rasouli, Saba Fekrvand, Mahsa Yousefpour Marzbali, Nazanin Fathi, Hassan Abolhassani

“…Although CVID pathogenesis is not completely understood, several genes have been identified to mainly regulate the process of terminal B-cell differentiation, antibody isotype maturation and long-life memory/plasma cell generation. The link between underlying genetic defects and the prognosis of developing different clinical complications like different pulmonary manifestations is still elusive. …”
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Neuroprotective effects of curculigoside against Alzheimer’s disease via regulation oxidative stress mediated mitochondrial dysfunction in L-Glu-exposed HT22 cells and APP/PS1 mice... by Wenqi Wang, Yidi Qu, Siyu Li, Jinyu Chu, Hongxin Yang, Lirong Teng, Di Wang

“…In APP/PS1 mice, 4-week CCG administration significantly improved their memory and behavioral impairments, enhanced the function of cholinergic system, reduced the deposition of Aβ and neurofibrillary fiber tangles caused by tau phosphorylation, and suppressed the development and progression of oxidative stress in brains of APP/PS1 mice. …”
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A Generic Approach towards Amharic Sign Language Recognition by Netsanet Yigzaw, Million Meshesha, Chala Diriba

“…The proposed system was created with the help of two key deep learning algorithms: a pretrained deep learning model and a Long Short-Term Memory (LSTM). The LSTM was used to extract sequence information from a sequence of image frames of a specific sign language, while the pretrained deep learning model was used to extract features from single frame images. …”
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Artery of Percheron Infarction as an Unusual Cause of Korsakoff’s Syndrome by Yongxing Zhou, Derrick Fox, Abhishek Anand, Amal Elhaj, Arushi Kapoor, Faranak Najibi, Han Kim, Roger Weir, Annapurni Jayam-Trouth

“…The Korsakoff syndrome is defined as “an abnormal mental state in which memory and learning are affected out of all proportion to other cognitive functions in an otherwise alert and responsive patient.” …”
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The Impact of Online Learning System on Students Affected with Stroke Disease by Sobia Wassan, Chen Xi, Tian Shen, Kamal Gulati, Kinza Ibraheem, Rana M. Amir Latif Rajpoot

“…Neuroimaging investigates SD’s impact on attention, working memory, mood, and hippocampal learning. We analyzed how this data enriches our mechanistic understanding of these alterations and the clinical illnesses linked with sleep disruption. …”
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Blockchain oracles for decentralized agricultural insurance using trusted IoT data by Manoj T, Krishnamoorthi Makkithaya, Narendra V. G., Vijaya Murari T

“…Finally, a performance analysis of smart contract transactions w.r.t average latency, throughput, average CPU utilization and total memory usage is conducted on Ganache and Sepolia test networks. …”
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Acupuncture in the Treatment of a Female Patient Suffering from Chronic Schizophrenia and Sleep Disorders by Peggy Bosch, Sabina Lim, Sujung Yeo, Sook-Hyun Lee, Heike Staudte, Maurits van den Noort

“…Acupuncture treatment led to a decrease in general psychopathology, less severe sleep problems, and markedly improved cognitive functioning (working memory) in the patient; however, the positive and the negative symptoms remained stable. …”
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